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Superconducting Qubits: Latest IBM, Google & Rigetti Developments

Latest superconducting qubit news: IBM Quantum, Google Willow chip, Rigetti Novera. Cryogenic systems, error correction & quantum supremacy updates.

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Superconducting qubits represent the most commercially advanced quantum computing technology, powering systems from IBM, Google, and Rigetti. These quantum processors leverage Josephson junctions—superconducting circuits that create non-linear inductance—to generate controllable quantum states at temperatures near absolute zero (15-20 millikelvin).

The dominant superconducting qubit design, the transmon qubit, balances coherence time and control simplicity by reducing sensitivity to charge noise. Recent breakthroughs include Google's Willow chip achieving below-threshold quantum error correction, demonstrating that increasing qubit count can actually reduce errors—a critical milestone for fault-tolerant quantum computing. IBM continues scaling its Heron processor architecture toward 1,000+ qubit systems while improving gate fidelities above 99.5%.

India's National Quantum Mission & Superconducting Qubits

India's National Quantum Mission (NQM), approved by the Union Cabinet on 19 April 2023 with an allocation of ₹6,003.65 crore for eight years (2023-2031), prioritizes superconducting qubit development under its Quantum Computing Thematic Hub. The Foundation for QC Innovation at IISc Bengaluru serves as the lead institution for this hub, working with IIT Delhi, IIT Bombay, TIFR Mumbai, and other institutions. The Tata Institute of Fundamental Research (TIFR) in Mumbai has established dilution refrigeration laboratories capable of operating at ultra-low temperatures to support superconducting qubit research. In August 2024, DRDO scientists from the Young Scientists Laboratory for Quantum Technologies (DYSL-QT), in collaboration with TIFR and TCS, completed end-to-end testing of a 6-qubit superconducting quantum processor with a novel ring-resonator design. This system includes a cloud-based interface developed by TCS for submitting quantum circuits and receiving computed results.

The NQM targets developing intermediate-scale quantum computers with 50-1000 physical qubits in eight years using various platforms including superconducting and photonic technology. Indigenous development of quantum fabrication facilities is underway, with IISc Bengaluru and IIT Bombay establishing quantum computing fabrication facilities under a ₹720 crore investment announced in November 2025. These facilities will support superconducting, photonic, and spin qubit technologies.

Key Advantages

Key advantages of superconducting qubits include nanosecond gate speeds enabling rapid algorithm execution, established semiconductor fabrication processes supporting manufacturing scalability, and a strong cryogenic infrastructure ecosystem. Current challenges include decoherence times (100-300 microseconds) that remain shorter than trapped-ion alternatives, error rates requiring extensive quantum error correction overhead, and cryogenic operation demands for specialized infrastructure.

Major Players

Major global players include IBM Quantum with cloud-accessible systems (Eagle, Osprey, Condor processors), Google Quantum AI focusing on error correction and quantum supremacy demonstrations, and Rigetti Computing offering hybrid quantum-classical systems. In India, the Foundation for QC Innovation at IISc, TIFR Mumbai, and IIT Bombay are building national capability with NQM support, while startups including QpiAI India are working on superconducting quantum computers.

What Is Quantum Computing (QUBT) Signaling With Its Three Year Qatar Partnership? - Yahoo Financequantum-computing

What Is Quantum Computing (QUBT) Signaling With Its Three Year Qatar Partnership? - Yahoo Finance

What Is Quantum Computing (QUBT) Signaling With Its Three Year Qatar Partnership? Bailey Pemberton Tue, September 15, 2026 at 12:15 PM EDT 2 min read QUBT -0.50% Quantum Computing Inc. (NasdaqCM:QUBT) signed a three year partnership with Hamad Bin Khalifa University in Qatar to promote quantum technology adoption. The framework covers joint research, education programs, and industry focused projects aimed at building regional quantum computing capabilities. Quantum Computing Inc. will provide access to its Dirac-3 quantum system as part of the collaboration to support applied use cases. The new three year Hamad Bin Khalifa University alliance matters. However, investors should weigh it alongside other Quantum Computing Inc. factors. Check out 2 warning signs (1 major) that Quantum Computing investors should know about. For readers looking beyond this Quantum Computing Inc. announcement and toward a broader set of quantum hardware and software ideas, start with 25 quantum computing stocks. NasdaqCM:QUBT Earnings & Revenue Growth as at Sep 2026 Quantum Computing operates as a US based integrated photonics player in the tech sector, building quantum machines for commercial users and government agencies. A university alliance connects its hardware to a region that is working to develop practical quantum skills and projects from the ground up. 1 thing going right for Quantum Computing that this headline doesn't cover. HBKU alliance leans into QCi's quantum communications catalyst, but raises execution questions For Quantum Computing Inc., the HBKU framework lines up neatly with the Narrative's catalyst around rising demand for quantum secure networking and communication systems. Direct access to Qatar's quantum center, executive education, and industry projects can help convert its quantum communication and Dirac based optimization tools from pilots into repeatable offerings. This matters for a business that still relies heavily on custom and R&D style contracts.

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ParityQC Launches Parity Twine Optimizer for Quantum Optimizationquantum-computing

ParityQC Launches Parity Twine Optimizer for Quantum Optimization

Insider Brief PRESS RELEASE — ParityQC, the Quantum Architecture Company, today launched the Parity Twine Optimizer, making its compiler technology, which led to record-setting performance in executing the Quantum Fourier Transform, available as a product. Built on the ParityQC Architecture, it delivers uniquely efficient compilation and is now available via the IBM Qiskit Function, including […]

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ExeQuantum launches EQCore for quantum-enhanced encryption system mappingquantum-computing

ExeQuantum launches EQCore for quantum-enhanced encryption system mapping

Beginning January 2027, new national security systems will require post-quantum cryptography, a mandate that has organizations scrambling to assess their cryptographic vulnerabilities. ExeQuantum aims to accelerate this transition with EQCore, a platform designed to discover, remediate, and continuously govern cryptographic risk. The platform, deployable in “days” across any environment, connects discovery, remediation, and governance into a single operational layer. ExeQuantum’s solution centers on three products: CipherScout for discovery, CipherForge for implementation, and CipherWatch for ongoing monitoring, delivering end-to-end migration aligned with standards like NIST, CNSA 2.0, and ISM. CipherScout Discovers Cryptographic Assets Across Hybrid Environments CipherScout delivers a Cryptographic Bill of Materials (CBOM) in CycloneDX 1.7 format, a machine-readable inventory detailing every algorithm, key length, certificate, and cryptographic dependency within an organisation’s digital infrastructure. This detailed accounting addresses a critical initial hurdle for businesses facing impending post-quantum cryptography (PQC) mandates, as many significantly underestimate the scope of their cryptographic footprint; a single virtual machine can contain over 150 discrete cryptographic assets. ExeQuantum’s approach moves beyond simple awareness, providing a granular view of exposure across ten distinct attack surfaces, including TLS endpoints, APIs, and cloud key management systems. The need for such comprehensive discovery is underscored by evolving governmental regulations; CNSA 2.0 will require compliance with PQC for new national security system acquisitions beginning January 2027, while the Australian Signals Directorate’s Information Security Manual (ISM) targets PQC mandates by 2030. These timelines demand a proactive approach, and CipherScout is designed to rapidly identify cryptographic vulnerabilities that standard tooling often misses, providing a comprehen

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Aqarios boosts IBM Qiskit library with quantum constraint toolquantum-computing

Aqarios boosts IBM Qiskit library with quantum constraint tool

Aqarios GmbH launched the Constrained Quantum Optimizer for IBM Qiskit, offering a new approach to solving complex planning and scheduling problems, the company says. Built on the company’s FlexQAOA algorithm, the function integrates real-world constraints directly into quantum computations, a departure from penalty-based methods that cannot guarantee valid solutions. “Optimization is one of the most compelling categories of problems for the development of quantum advantage-capable applications,” said Scott Crowder, Vice President, IBM Quantum Adoption and Business Development. Aqarios validated the function on IBM Quantum Heron hardware, achieving optimal or near-optimal solutions on a 144-bit problem with 48 constraints. Aqarios Integrates FlexQAOA into IBM Qiskit Functions Catalog Aqarios has extended the capabilities of IBM’s Qiskit platform with the launch of the Constrained Quantum Optimizer function, immediately available to users through the Qiskit Functions Catalog as of September 15, 2026. Michael Lachner, CEO of Aqarios, explained, “Most quantum optimization tools still require users to work around their constraints. We build them in natively, and that’s what turns quantum computing into real, usable results for constrained problems.” The function is built upon Aqarios’ existing FlexQAOA algorithm, already deployed for customers utilizing the company’s Luna platform. Aqarios’ integration with Qiskit extends beyond simply offering a new algorithm; it represents a broadening of access to the company’s optimization capabilities. “We’re glad to bring what already runs on our Luna platform directly to IBM Quantum users, via the Qiskit Functions Catalog,” Lachner stated. Luna is a platform designed to route problems to the most suitable solver, classical, AI-based, or quantum, without hardware lock-in, reflecting Aqarios’ commitment to a hybrid approach. Founded in 2021 and now publicly listed on Boerse Duesseldorf following a $140 million SPAC transaction with

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Emergence Quantum and AirTrunk cool data centres with quantum techquantum-computing

Emergence Quantum and AirTrunk cool data centres with quantum tech

University of Sydney spin-out Emergence Quantum is partnering with data center giant AirTrunk to apply cryogenic technology, typically reserved for quantum computers, to mainstream data center cooling. The collaboration aims to simultaneously reduce cooling water consumption and enable gigawatt-scale energy storage for better renewable energy utilization. Emergence Quantum co-founder and CEO Professor David Reilly notes, “It’s been understood for decades that computers run significantly faster and more efficiently in the cold, but there are challenges and costs to cooling that have so-far limited this approach to niche applications.” This shift, driven by the increasing scale of data centers and shrinking transistor sizes, signals what Emergence Quantum calls the. Cryogenic Cooling for Enhanced Data Centre Performance Australia possesses unique advantages for scaling cryogenic technologies, stemming from its established expertise in large-scale cryogenic liquefied natural gas (LNG) and emerging liquid hydrogen capabilities, alongside abundant renewable energy sources and decarbonisation experience. Emergence Quantum and AirTrunk are now aiming to translate this national strength into a new generation of data centre cooling, moving beyond simply supporting quantum computing to address the escalating energy demands of conventional processors. The partnership will focus on reducing data centres’ cooling water needs while simultaneously enabling gigawatt-scale power storage, a dual benefit not commonly pursued in data centre sustainability initiatives. Professor Thomas Ohki, co-founder and CTO of Emergence Quantum, explains that cryogenic data centres are no longer a distant prospect. “For us, cryogenic data centres are an inevitable reality, this cooling technology is needed for high-speed efficient silicon chips, superconducting logic, and ultimately quantum computing. All flavours of qubits need cryogenics one way or another,” he stated. This shift is driven by the i

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TOYO Corporation will open two quantum computers to Japan’s researchersquantum-computing

TOYO Corporation will open two quantum computers to Japan’s researchers

TOYO Corporation is expanding quantum infrastructure in Japan with the purchase of a second full-stack quantum computer, the IQM Spark. This follows its acquisition of an IQM Radiance 20-qubit system, with both machines slated to be operational in early 2027; the Spark at TOYO’s R&D center and the Radiance 20 at AIST’s G-QuAT. The move supports Japan’s ambition to generate ¥50 trillion in economic value from quantum computing by 2030, and, according to IQM Quantum Computers CEO Jan Goetz, the significance of this purchase lies not in the number of systems TOYO has acquired, but in how they will be used. TOYO’s IQM Radiance and Spark Deployments Expand Japan’s Quantum Access TOYO Corporation will establish a quantum computing testbed by making both its newly acquired IQM Spark system and an earlier IQM Radiance 20-qubit machine available to a broad range of Japanese institutions. The Spark system, slated for installation at TOYO’s research and development center in Kiba, Tokyo, will focus on hands-on learning and algorithm verification, while the Radiance 20 at AIST’s G-QuAT center will support broader research initiatives. Both systems are projected to be operational in early 2027, creating a dual approach to quantum access within both the private and public sectors. TOYO’s decision to open access to these machines, rather than restrict their use internally, is a key component of this strategy, according to IQM Quantum Computers CEO and Co-founder Jan Goetz. TOYO is sharing the capabilities for educational purposes, opening them up to the universities, startups, and researchers who make up Japan’s quantum ecosystem. The company’s commitment extends beyond simply providing hardware; TOYO, founded in 1953 and listed on the Tokyo Stock Exchange Prime market, is actively co-developing quantum sensing instruments alongside Quantum Science and Technology and Type-I Technologies, beginning in August 2026 with NV-centre technology. As IQM’s Japanese partner, TOYO instal

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GRNET’s HellasQCI Wins Top Prize for Quantum Network Ideaquantum-computing

GRNET’s HellasQCI Wins Top Prize for Quantum Network Idea

Greece is being recognized for its advances in secure communications as the HellasQCI project, coordinated by GRNET, received the first prize in the category at the Digital Governance Awards on September 8, 2026. The project is the national component of the pan-European EuroQCI initiative, aiming to establish a secure, continent-wide quantum communications infrastructure. “The development of HellasQCI is an important step toward strengthening the country’s digital security and technological sovereignty,” stated Konstantinos Karantzalos, Secretary General for Telecommunications and Post. This distinction highlights Greece’s growing role in quantum technologies and its commitment to protecting critical infrastructure. GRNET’s HellasQCI Wins Digital Governance Award for Quantum Network The award acknowledges digital transformation initiatives implemented by the Ministry of Digital Governance and its agencies, specifically recognizing GRNET’s coordination of Greece’s national quantum communications infrastructure. This distinction highlights a proactive approach to securing digital infrastructure before widespread quantum computing threats materialize, rather than reacting to them after the fact. GRNET S.A. coordinates HellasQCI, positioning the organization as central to Greece’s quantum infrastructure development and demonstrating a clear national lead in the field. The project spans research institutions including NKUA, ICCS, FORTH, AUTH, and NCSR Demokritos, alongside observatory operators and both the digital governance and defence ministries, creating a broad collaborative network. Ilias Papastamatiou, Senior Project Manager at GRNET S.A. Beyond the broader EuroQCI goals of secure data transmission and critical infrastructure resilience, HellasQCI has already demonstrated practical application in a hospital environment. This deployment, an unusually concrete step for a national quantum communication infrastructure at this stage, suggests a focus on immediate, real

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Second IQM quantum computer heads to TOYO’s Tokyo R&D centerquantum-computing

Second IQM quantum computer heads to TOYO’s Tokyo R&D center

TOYO Corporation is significantly expanding its quantum computing capacity with a second full-stack system from IQM Quantum Computers, an IQM Spark, to be operational in early 2027 at its Tokyo research and development center. This purchase, following an earlier acquisition of an IQM Radiance 20-qubit computer for AIST’s G-QuAT facility, demonstrates a concrete investment in building Japan’s quantum ecosystem beyond internal research. “What makes this purchase matter isn’t that TOYO bought a second system, it’s what they’re choosing to do with them,” explains IQM CEO Jan Goetz, noting TOYO’s commitment to sharing access, startups, and researchers. The combined systems will support talent development, technology validation, and advanced research across Japan. TOYO’s IQM Spark Expands Quantum Access for Japanese Ecosystem Early 2027 will see the operational launch of TOYO Corporation’s second IQM Spark quantum computer at its Kiba, Tokyo research and development center, specifically designed to bridge the gap between foundational quantum education and practical algorithm validation. This dual focus distinguishes the deployment, extending beyond purely academic research to encompass hands-on learning and rigorous testing of quantum algorithms in a real-world setting. The system’s installation underscores TOYO’s commitment to fostering a robust quantum computing skillset within Japan, preparing a workforce capable of using emerging technologies. TOYO’s acquisition of the IQM Spark represents a substantial investment exceeding a single quantum computer purchase, signaling a long-term strategy to build comprehensive quantum capacity within the Japanese ecosystem. Complementing the previously announced IQM Radiance 20-qubit system slated for installation at AIST’s G-QuAT facility by the end of 2026, the combined systems will provide a versatile platform for diverse quantum computing needs.

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A quantum leap in computing began with baby steps at Cleveland Clinic - Ideastreamquantum-computing

A quantum leap in computing began with baby steps at Cleveland Clinic - Ideastream

Science & Technology A quantum leap in computing began with baby steps at Cleveland Clinic Ideastream Public Media | By Jeff St. Clair Published September 15, 2026 at 6:00 AM EDT Facebook Twitter LinkedIn Email Listen • 4:33 Cleveland Clinic An elaborate lattice of cooling tubes and superconductors called a chandelier holds the quantum chip at the base the IBM quantum computer at the Cleveland Clinic. Cleveland Clinic in 2021 became the first health care system to house a quantum computer. Cleveland is home to one of world’s most sophisticated pieces of machinery.IBM’s powerful quantum computer is housed at the Cleveland Clinic as part of the health system’s Discovery Accelerator initiative.It’s one of only a few dozen of its kind in the world, and researchers are still figuring out how to use it.Leading the effort is the Clinic’s first chief research information officer, Dr. Lara Jehi. Jeff St.Clair Dr. Lara Jehi is a practicing neurologist and the Cleveland Clinic's Chief Research Information officer. She's manages research using the quantum computer that is part of a 10-year, $100 million partnership with IBM. She's a neurologist who each week still treats patients, while managing research that uses one of the world's most powerful pieces of computing hardware.Jehi and the Cleveland Clinic birthed the quantum computer in 2021 as part of a 10 year, $100 million partnership with IBM.Jehi chose the very visible employee cafeteria at the Clinic's Lerner Research Institute to house the quantum system because she wanted to spark ideas among her colleagues. It sits inside an 11-foot-tall glass cube specially designed to absorb vibrations from passing traffic.Jehi feels a very personal connection to the quantum computer.“It’s my baby, " she said, with a laugh. "It took nine months to build it. That's how long it takes to have a baby.”And Jehi's dreams for the computer mirror those for her own, human children. "I'm raising it so that it can do good in the world,”

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TOYO Corporation Opens Its Quantum Computers to Japan's Ecosystem - Yahoo Financequantum-computing

TOYO Corporation Opens Its Quantum Computers to Japan's Ecosystem - Yahoo Finance

This is a paid press release. Contact the press release distributor directly with any inquiries. TOYO Corporation Opens Its Quantum Computers to Japan's Ecosystem TOYO Corporation opens its quantum computers to Japan's ecosystem Business Wire Tue, September 15, 2026 at 4:32 AM EDT 5 min read 8151.T +0.33% IQMX -4.84% IQM Spark is TOYO's second quantum computer purchase, following its earlier acquisition of an IQM Radiance 20-qubit quantum computer. IQM will deliver both systems by the end of 2026. Both systems will be operational in early 2027 — the Spark system at TOYO's R&D center, and the Radiance 20 at AIST's Global Research and Development Center for Business by Quantum-AI technology (G-QuAT). TOYO will leverage the quantum infrastructure for its quantum initiatives, while extending access to Japan's wider quantum ecosystem. The move directly supports Japan's national quantum strategy, which targets 10 million domestic quantum users and ¥50 trillion in quantum-generated economic value by 2030. The deployments extend IQM's installed base across Asia-Pacific, following systems already delivered in South Korea and Taiwan. They also follow IQM's Nasdaq listing and an order backlog that has grown past €102 million. ESPOO, Finland & TOKYO, September 15, 2026--(BUSINESS WIRE)--IQM Quantum Computers, a global leader in superconducting quantum computers, today announced that TOYO Corporation has purchased a second full-stack quantum computer, IQM Spark. This expands TOYO's quantum footprint and reinforces IQM's commitment to driving quantum acceleration in Japan. The Spark system will be installed at TOYO's R&D center in Kiba, Tokyo, and will be operational in early 2027, enabling hands-on learning from fundamental quantum computing education to algorithm validation and verification.

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TOYO Corporation Buys Second IQM Quantum Computerquantum-computing

TOYO Corporation Buys Second IQM Quantum Computer

Insider Brief PRESS RELEASE — IQM Quantum Computers, a global leader in superconducting quantum computers, today announced that TOYO Corporation has purchased a second full-stack quantum computer, IQM Spark. This expands TOYO’s quantum footprint and reinforces IQM’s commitment to driving quantum acceleration in Japan. The Spark system will be installed at TOYO’s R&D center in […]

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IonQ Demonstrates Hybrid HPC and Quantum-AI Workflows Across Nine Peer-Reviewed Papers at IEEE Quantum Week 2026quantum-computing

IonQ Demonstrates Hybrid HPC and Quantum-AI Workflows Across Nine Peer-Reviewed Papers at IEEE Quantum Week 2026

IonQ Demonstrates Hybrid HPC and Quantum-AI Workflows Across Nine Peer-Reviewed Papers at IEEE Quantum Week 2026 Trapped-ion quantum hardware developer IonQ (NYSE: IONQ) has presented nine peer-reviewed research papers at the 2026 IEEE International Conference on Quantum Computing and Engineering (QCE26) in Toronto, four of which received QCE26 Best Paper Awards. The body of work showcases application-level deployment, error mitigation, and hybrid classical-quantum solver integrations executed across IonQ’s Forte, Forte Enterprise, and 64-qubit Barium development systems (precursor to the IonQ Tempo line) co-processed with NVIDIA CUDA-Q and cuTensorNet software stacks. The technical publications focus on three functional pillars: enterprise engineering optimization, quantum-accelerated AI architectures, and dynamic error mitigation. Among the award-winning papers, IonQ and Synopsys integrated an Iterative-QAOA Graph Partitioning Problem (GPP) solver into LS-DYNA multiphysics finite element analysis (FEA) software, accelerating 35-million-element mesh simulations by up to 14.6%. In computational biology, IonQ and Kipu Quantum executed bias-field digitized counterdiabatic quantum optimization (BF-DCQO) across 46-to-61-qubit instances to solve 3D lattice protein folding for 14-to-16-amino-acid peptides. In quantum AI, IonQ, QuantumBasel, and the University of Basel measured a 24% reduction in classification error alongside a physical QPU energy-to-solution (ETS) break-even crossover against classical simulation at 34 qubits. [ IonQ IEEE QCE26 Award-Winning Papers & Hardware Benchmarks ]Research Project & PartnersAlgorithmic Implementation & Hardware TargetPerformance Metrics & Operational ImpactFEA Linear Algebra Workflows(with Synopsys) [Best Paper]• Iterative-QAOA Graph Partitioning Solver• CUDA-Q (150 Qubits) & IonQ Forte (36 Qubits)• 14.6% Wall-Clock Time Reduction on 35M-Element Meshes• Solved Sedan Car & Rolls-Royce Engine ModelsQuantum AI

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IQM Adopts NVIDIA CUDA-Q Logical Framework to Drive Open-Architecture Fault-Tolerant System Benchmarkingquantum-computing

IQM Adopts NVIDIA CUDA-Q Logical Framework to Drive Open-Architecture Fault-Tolerant System Benchmarking

IQM Adopts NVIDIA CUDA-Q Logical Framework to Drive Open-Architecture Fault-Tolerant System Benchmarking Superconducting quantum computer manufacturer IQM Quantum Computers has adopted NVIDIA CUDA-Q Logical as a primary logical orchestration layer within its full-stack hardware environment. Announced at IEEE Quantum Week 2026, the integration connects CUDA-Q’s open-source fault-tolerant compilation stack to IQM’s on-premises Halocene quantum error correction (QEC) product line, decoupling high-level logical algorithm benchmarking from proprietary vendor-specific control software and low-level FPGA firmware. By standardizing high-level logical circuit descriptions within CUDA-Q Logical, the compilation layer allows QEC algorithm workloads—ranging from high-rate qLDPC codes to planar surface codes—to be compiled, benchmarked, and executed across heterogeneous physical backends without altering underlying operational metrics. The integrated stack provides auditable multi-layer resource estimates, quantifying runtime overhead across decoding latency, inter-component quantum interconnect transport, and control electronics bandwidth. On the hardware layer, IQM’s 150-qubit Halocene system pairs square-lattice superconducting QPU architectures (featuring native CZ gates and tunable couplers) with NVIDIA NVQLink for microsecond-scale real-time GPU decoding co-processing. [ IQM Halocene & NVIDIA CUDA-Q Logical Stack Integration ]System LayerHardware & Interconnect InfrastructureSoftware & QEC Orchestration LayerPhysical QPU & Topology• IQM Halocene Processor (150 Physical Qubits)• Square-Lattice Geometry with Tunable Couplers• Native Single-Qubit (X/Y) & Two-Qubit (CZ) Gates• Calibrated for Direct Surface Code ExecutionControl & Hardware Acceleration• Open On-Premises Control Electronics• NVIDIA NVQLink Ultra-Low Latency Interconnect• Pulse-Level Control & Real-Time FPGA Interface• Sub-Microsecond GPU-Based QEC Decoding LoopsFault-Tolerant Compilat

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BlueQubit Launches $150,000 “Quantum Flywheel” Compute Grant Program Supported by AWS, IBM, and NVIDIA
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quantum-computing

BlueQubit Launches $150,000 “Quantum Flywheel” Compute Grant Program Supported by AWS, IBM, and NVIDIA

BlueQubit Launches $150,000 “Quantum Flywheel” Compute Grant Program Supported by AWS, IBM, and NVIDIA Quantum software developer BlueQubit has launched the “Quantum Flywheel” grant program, a $150,000 compute allocation initiative designed to support quantum algorithm discovery, adversarial classical simulation, and quantum error correction (QEC) research. Supported by IBM, Amazon Web Services (AWS), and NVIDIA, the program provides selected research teams with three months of continuous cloud compute credits spanning QPU, GPU, and CPU hardware clusters alongside BlueQubit’s quantum-native development environment. The grant framework focuses on three research vectors. First, teams will deploy target algorithms onto cloud-accessible IBM quantum hardware to evaluate quantum advantage boundaries in simulation and optimization. Second, projects will perform adversarial classical simulations utilizing tensor networks, Pauli-path methods, and state-vector heuristics on NVIDIA GPU instances on AWS to benchmark and stress-test quantum advantage claims. Third, research teams will utilize frontier AI models to discover, decode, and analyze novel QEC codes to improve hardware-level noise suppression. [ BlueQubit Quantum Flywheel Program & Compute Infrastructure Scope ]Program ComponentCompute Infrastructure & ToolingTarget Research Track & OutputFunding & Duration• $150,000 Total Cloud Compute Pool• 3-Month Continuous Execution Window• Open-Source Circuit Repositories• Peer-Reviewed Preprints & BenchmarksHardware Ecosystem• IBM Cloud Quantum Processors (QPUs)• NVIDIA GPU Clusters on AWS• Large-Core CPU Simulation Nodes• QPU Execution & Algorithm Validation• Adversarial Tensor-Network Verification• AI-Driven QEC Code Discovery & DecodingExecution Stack• BlueQubit Quantum-Native Platform• AI Code Generation & Circuit Synthesis• End-to-End Workflow Pipeline Integration• Reproducible Cross-Platform Baselines The program features a five-week proposa

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IonQ (IONQ) Presented Nine Research Papers At IEEE Quantum Week 2026 - Yahoo Financequantum-computing

IonQ (IONQ) Presented Nine Research Papers At IEEE Quantum Week 2026 - Yahoo Finance

IonQ (IONQ) Presented Nine Research Papers At IEEE Quantum Week 2026 Bailey Pemberton Tue, September 15, 2026 at 1:15 AM EDT 2 min read IONQ +2.04% IonQ (NYSE:IONQ) was recognized at IEEE Quantum Week 2026 for academic and practical leadership in quantum computing. The company presented nine peer-reviewed research papers at the conference, covering real-world quantum computing applications. IonQ researchers received four Best Paper Awards and contributed to keynotes and workshops at the international event. These IEEE Quantum Week 2026 research awards and keynotes show only part of the IonQ story that investors are tracking. Check out 3 warning signs (1 major) that IonQ investors should know about. Quantum hardware is only one piece of the build out for next generation computing, so it is worth comparing IonQ's role to peers across the broader AI infrastructure stack through 60 AI infrastructure stocks. NYSE:IONQ Earnings & Revenue Growth as at Sep 2026 IonQ develops quantum computing systems across the US, Switzerland, and other markets, placing it within the broader semiconductor space that supplies core AI and high performance computing infrastructure. For readers, this research spotlight helps explain how the company positions its hardware and algorithms in real world computing workflows rather than only in lab settings. 1 thing going right for IonQ that this headline doesn't cover. IonQ's IEEE wins reinforce the "real workloads" part of its quantum story IonQ's Narrative hinges on whether its gate based hardware, networking and security platform can handle commercially relevant tasks better than rivals like Rigetti or IBM, not just lab demos. This IEEE Quantum Week recognition speaks directly to that bet by tying research output to real world computing problems.

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Anyon Computing Unveils Open-Source Real-Time Control Plane Powered by NVIDIA NVQLinkquantum-computing

Anyon Computing Unveils Open-Source Real-Time Control Plane Powered by NVIDIA NVQLink

Anyon Computing Unveils Open-Source Real-Time Control Plane Powered by NVIDIA NVQLink Anyon Computing’s quantum supercomputer: the cryostat housing the QPU and the quantum control cluster (rendering). Superconducting quantum computer developer Anyon Computing (also known as Anyon Technologies) has unveiled an open-source real-time quantum control system integrated with NVIDIA NVQLink. Developed for enterprise data center deployments, the control plane treats microwave control hardware and connected superconducting quantum processing units (QPUs) as native co-processor nodes alongside classical CPUs and GPUs over a unified Remote Direct Memory Access (RDMA)-over-Ethernet fabric. The system architecture enables microsecond-scale execution loops between qubit measurement and classical processing, satisfying operational latency constraints required for real-time quantum error correction (QEC) decoding, active QPU calibration, and hybrid quantum-classical machine learning. Native integration with NVIDIA CUDA-Q allows classical and quantum code instructions to execute within a shared host process, bypassing per-call recompilation bottlenecks. Furthermore, Anyon stated that the underlying FPGA control stack was engineered and verified autonomously using AI agents through hardware-in-the-loop simulation loops. [ Anyon Computing NVQLink Control Plane Specifications ]System LayerHardware & Fabric InterconnectControl & Execution WorkloadsInterconnect Architecture• NVIDIA NVQLink Low-Latency Link• Switched RDMA-over-Ethernet Fabric• Co-Processor Node Mapping (CPU/GPU/QPU)• Scalable Phase-Locked Multi-Controller MeshSoftware & Compilation Stack• Open-Source Control Plane• Native NVIDIA CUDA-Q, QIR, & OpenQASM• Zero-Recompilation Microsecond Loops• Shared Memory Space for AI/QPU WorkloadsOperational Targets• AI Agent-Engineered FPGA Firmware• Hardware-in-the-Loop Autonomous Verification• Real-Time QEC Decoding & Readout Classification• Adaptive QPU Calibration

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Building or Buying Access to Quantum Computingquantum-computing

Building or Buying Access to Quantum Computing

Building or Buying Access to Quantum Computing Guest post by Dr. Leandro Aolita, Chief Researcher, Quantum Research Centre, Technology Innovation Institute Whoever fabricates, tests and refines physical qubits now is helping to determine what the standard hardware of the next decade looks like, rather than adopting a standard that already exists. Organizations around the world now have access to quantum computing but almost all of them simply rent time on someone else’s machine, typically through a cloud account with one of a handful of hardware providers. Far fewer have built one from chip design through fabrication to the software layer that turns a physical device into something a researcher can run. The capacity to build it determines whether an institution, or a country, participates in shaping how the technology develops or remains a customer of it. In February 2026, my team at the Technology Innovation Institute’s Quantum Research Centre opened cloud access to superconducting quantum processing units (QPUs), including QPUs we designed and fabricated in-house at our Quantum Computing Hardware Lab in Abu Dhabi. The systems available through the platform range from 5 to 25 qubits. Our newest in-house chips hold their quantum state up to ten times longer than our first-generation prototypes did. A few dozen qubits is certainly small by the standards of the largest global players, but the number is not the interesting part. What matters is that every stage of the chain sits in-house: the physical chip design, the fabrication, the control electronics, and Qibo, the open-source software framework our quantum middleware team built to let a researcher submit a job and run it seamlessly on either a simulator or the physical hardware. That full chain, from design through fabrication to cloud operation, is held by a comparatively short list of organizations worldwide. The software layer is also released as open source. Qibo lets researchers outside TII build quantum circ

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Sandia, Quantinuum, and NVIDIA Introduce QUOPS Framework to Benchmark Physical and Logical Quantum Performancequantum-computing

Sandia, Quantinuum, and NVIDIA Introduce QUOPS Framework to Benchmark Physical and Logical Quantum Performance

Sandia, Quantinuum, and NVIDIA Introduce QUOPS Framework to Benchmark Physical and Logical Quantum Performance QUOPS tracks progress toward quantum utility. A research collaboration led by Sandia National Laboratories, in partnership with Quantinuum and NVIDIA, has introduced the Quantum Universal Operations Performance System (QUOPS). Detailed in a multi-institution paper published on arXiv (arXiv:2609.12146), QUOPS is an architecture-agnostic benchmarking framework designed to measure integrated quantum computer performance across both physical- and logical-qubit platforms, addressing limits in traditional component-level metrics such as raw qubit count or isolated gate fidelities. QUOPS evaluates full system execution—incorporating compilation, error correction, syndrome decoding, and error mitigation—by executing randomized layers of arbitrary-angle single-qubit rotations, RP(θ), and CNOT gates across varying circuit widths (w) and depths. The benchmark yields two top-level system metrics: Q (QUOPS score), which defines the maximum circuit size s = 2 × w × depth successfully executed within a utility-motivated geometric volume (w² ≤ s ≤ w³) at a minimum mean process polarization threshold of 1/√e ≈ 61%; and Ω (QUOPS rate), which measures the net operational throughput in executed operations per second while accounting for sampling overheads from error mitigation or postselection. [ Experimental Cross-Platform QUOPS Performance Benchmarks ]Hardware System & ModalityArchitecture & Encoding LayerQUOPS Score (Q) & Throughput (Ω)Google Willow• Physical Transmon (105 Qubits, 2D Grid)• Q = 216 | Ω = 2.0 × 10⁷ QUOPS/s (Width w=6)IBM ibm_boston• Physical Transmon (156 Qubits, Heavy-Hex)• Q = 204 | Ω = 3.1 × 10⁵ QUOPS/s (Width w=6)Quantinuum H2-1• Physical Trapped-Ion (56 Qubits, QCCD)• Q = 1,320 (1,392 w/ PS) | Ω = 353 QUOPS/s (Width w=12)Quantinuum Helios-1• Physical Trapped-Ion (98 Qubits, QCCD)• Q = 1,504 (1,824 w/ PS) | Ω = 303 QUOPS/s (Width w=16)Quantin

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Qedma Integrates QESEM Quantum Error Mitigation Software into NVIDIA CUDA-Q Platformquantum-computing

Qedma Integrates QESEM Quantum Error Mitigation Software into NVIDIA CUDA-Q Platform

Qedma Integrates QESEM Quantum Error Mitigation Software into NVIDIA CUDA-Q Platform Quantum error reduction developer Qedma Quantum Computing has integrated its proprietary QESEM (Quantum Error Suppression and Error Mitigation) software into NVIDIA CUDA-Q, an open platform for hybrid quantum-GPU supercomputing. Announced at IEEE Quantum Week 2026, the integration allows CUDA-Q developers to execute error-mitigated quantum circuits directly within their existing classical-quantum compilation workflows without modifying programming interfaces. The initial release targets trapped-ion hardware from Quantinuum, with plans to expand compatibility across additional QPU architectures. QESEM applies characterization-based error suppression and mitigation algorithms to reduce the impact of hardware noise in pre-fault-tolerant quantum processors. By embedding QESEM directly into CUDA-Q’s execution pipeline, hybrid algorithms can run deeper circuits with higher fidelity across distributed GPU-QPU clusters. [ Qedma QESEM & NVIDIA CUDA-Q Integration Framework ]Software ComponentIntegration MechanismHardware & Operational TargetsQESEM Engine• Native CUDA-Q Middleware Module• Zero Workflow/API Code Modification• Error Suppression & Characterization• Deeper Circuit Execution LimitsQPU Compatibility• Direct Hardware Driver Hooking• Quantinuum Trapped-Ion QPUs (Initial)• Multi-Modality Roadmap ExpansionHybrid Compute Stack• Accelerated GPU Classical Processing• Quantum-GPU Supercomputing Workloads• High-Fidelity Circuit Reconstruction The CUDA-Q availability expands Qedma’s software ecosystem presence following its $26 million Series A funding round. The integration follows recent hardware benchmarks, including Qedma’s quantum material simulation demonstrations on IBM Quantum Heron processors and its 30–50× error-mitigation performance advantage validated alongside the HQC² research consortium in quantum chemistry applications. Review the official news release via Qedma Q

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$2 Billion US push aims to build quantum manufacturing basequantum-computing

$2 Billion US push aims to build quantum manufacturing base

The United States is committing over $2 billion to bolster domestic quantum companies and foundries, a move signaled by the sold-out exhibit floor and expected attendance of 30+ unique organizations at the Quantum World Congress USA. Quantum World Congress, which will be held September 23-25, 2026, has become a central meeting place for leaders across science, industry, and government. According to organizers, the focus is shifting beyond qubit development to building the industrial base required to manufacture quantum systems at scale. $2 Billion Investment Fuels Quantum Manufacturing Scale-Up This level of commercial interest signals a shift beyond fundamental research toward tangible product development and deployment, a trend organizers say is critical for sustained growth. More than 30 international delegations will attend the Congress, underscoring the United States’ position as a central hub for quantum technology advancement and commercialization. This concentrated investment is also fostering a broader, more diverse participation within the quantum sector, with representation from 30+ unique organizations expected at the Congress. The event features 0 tracks across the program, including dedicated sessions on quantum sensing, networking, and applications, reflecting a move toward specialized quantum solutions beyond core computing. Classiq’s Jason Silbergleit noted the increasing maturity of the quantum stack, suggesting that software and workforce development are now key to translating readiness into lasting intellectual property. Microsoft is actively contributing to this expansion through its Azure Quantum platform, providing cloud access to hardware from IonQ, Quantinuum, and Rigetti, alongside tools for quantum algorithm development. The company’s pursuit of topological qubits via Majorana zero modes demonstrates a long-term commitment to exploring alternative qubit architectures, Quantum World Congress says.

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